A Genetic Algorithm for joint resource allocation in Cooperative Cognitive Radio Networks

Yang, Wei; Ban, Dongsong; Liang, Weifa; Wang, Dou

doi:10.1109/iwcmc.2011.5982411

Cited by 3 publications

(1 citation statement)

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“…In CCRNs, a GA for MRS and PA for two-way relaying was studied by Ahmad et al [ 31 ] in which the sum rate of the networks is maximized by satisfying the transmission power and interference requirements of the networks. In CCRNs, a GA-based scheme was jointly proposed by Yan et al [ 32 ] in which a channel allocation and a cooperation set assignment is executed in such a way that for given time, the average transmission rate of the users achieve its maximal fairness. The physical layer security issues of CCRNs and PA method of the users were out of scope of their work.…”

Section: Related Workmentioning

confidence: 99%

Joint Relay Selection and Power Allocation through a Genetic Algorithm for Secure Cooperative Cognitive Radio Networks

Rahman

Lee

Koo

2018

Sensors

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In cooperative cognitive radio networks (CCRNs), there has been growing demand of transmitting secondary user (SU) source information secretly to the corresponding SU destination with the aid of cooperative SU relays. Efficient power allocation (PA) among SU relays and multi-relay selection (MRS) are a critical problem for operating such networks whereas the interference to the primary user receiver is being kept below a tolerable level and the transmission power requirements of the secondary users are being satisfied. Subsequently, in the paper, we develop the problem to solve the optimal solution for PA and MRS in a collaborative amplify-and-forward-based CCRNs, in terms of maximizing the secrecy rate (SR) of the networks. It is found that the problem is a mixed integer programming problem and difficult to be solved. To cope with this difficulty, we propose a meta-heuristic genetic algorithm-based MRS and PA scheme to maximize the SR of the networks while satisfying transmission power and the interference requirements of the networks. Our simulation results reveal that the proposed scheme achieves near-optimal SR performance, compared to the exhaustive search scheme, and provides a significant SR improvement when compared with some conventional relay selection schemes with equal power allocation.

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Section: Related Workmentioning

confidence: 99%